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Sinopsis
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.
Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.
Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
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Críticas
From the book reviews:
“Book represents a collection of state-of-the-art contributions devoted to RSs for TEL and explores contemporary research achievements in the area. ... This very interesting, well-timed volume will provide great opportunities for PhD students and newcomers to this field to continue with high-quality research efforts. The book is also interesting for master’s students who would like to acquire adequate knowledge and emergent research achievements in this field. Secondary school teachers and experienced researchers could also find this book useful and interesting.” (M. Ivanović, Computing Reviews, October, 2014)Reseña del editor
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.
Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.
Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Recommender Systems for Technology Enhanced Learning (Hardcover)
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Springer-Verlag New York Inc., New York, 2014
ISBN 10: 1493905295
ISBN 13: 9781493905294
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Hardcover. Condición: new. Hardcover. As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated. Recommender Systems for Technology Enhanced Learning Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781493905294
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications (eng)
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Condición: new. Questo è un articolo print on demand. Nº de ref. del artículo: 71089cdacaf05876d6dc40b29f13864a
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
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Recommender Systems for Technology Enhanced Learning
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Springer New York Apr 2014, 2014
ISBN 10: 1493905295
ISBN 13: 9781493905294
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated. 320 pp. Englisch. Nº de ref. del artículo: 9781493905294
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
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Recommender Systems for Technology Enhanced Learning
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents cutting edge research from leading experts in the growing field of Recommender Systems for Technology Enhanced Learning (RecSys TEL)International contributions are included to demonstrate the merging of various efforts and communities. Nº de ref. del artículo: 4213825
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Recommender Systems for Technology Enhanced Learning
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Condición: New. pp. 322. Nº de ref. del artículo: 26127090189
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
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Springer-Verlag New York Inc., 2014
ISBN 10: 1493905295
ISBN 13: 9781493905294
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Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 620. Nº de ref. del artículo: C9781493905294
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Recommender Systems for Technology Enhanced Learning
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand pp. 322 67 Illus. Nº de ref. del artículo: 132415954
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